MacBook Air (Late 2020)
Geekbench AI Score
4901
Single Precision Score
5606
Half Precision Score
5261
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 17 2025 04:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | MacBook Air (Late 2020) |
| Model ID | MacBookAir10,1 |
| Motherboard | MacBookAir10,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2209
410.8 IPS |
|
|
Image Classification (HP)
|
100% |
2339
435.0 IPS |
|
|
Image Classification (Q)
|
96% |
2236
417.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3632
58.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3548
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3650
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15713
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17310
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16739
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2363
187.5 IPS |
|
|
Object Detection (HP)
|
100% |
2465
195.5 IPS |
|
|
Object Detection (Q)
|
92% |
2208
176.3 IPS |
|
|
Face Detection (SP)
|
100% |
6443
76.6 IPS |
|
|
Face Detection (HP)
|
100% |
7582
90.1 IPS |
|
|
Face Detection (Q)
|
100% |
6213
73.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10172
78.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11674
89.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10781
84.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26709
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31156
40.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30149
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6081
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6804
251.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5846
215.9 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4044
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4021
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1100
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1141
19.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1136
19.6 IPS |
